Gemma 4 26B A4B — Specifications
Compilato da Mustafa Ihsan dalla documentazione pubblicata del fornitore · Ultimo aggiornamento
| Sviluppatore | |
|---|---|
| Tipo | LLM (multimodale) |
| Modalità | Testo, immagine → testo |
| Parametri | 25.2B total / 3.8B active |
| Finestra contestuale | 256K |
| Licenza | Apache 2.0 |
| Pesi aperti | Sì |
| Pubblicato | 2026-03 |
| Prezzo dell’input | $0.15 /1M |
| Prezzo dell’output | $0.60 /1M |
| Provider API | Google Cloud (managed API), DeepInfra, OpenRouter (hosted); Gemini API (free tier only); Ollama (local) |
Esegui localmente
| VRAM (4-bit) | ~14.4 GB |
|---|
Benchmark
| Google-reported | MMLU Pro 82.6%; GPQA Diamond 82.3%; LiveCodeBench v6 77.1%; AIME 2026 (no tools) 88.3%; MMMU Pro 73.8%. |
|---|
What is Gemma 4 26B A4B?
Gemma 4 26B A4B is the mixture-of-experts model in Google DeepMind’s open Gemma 4 family, released on 31 March 2026 under the Apache 2.0 licence. Its model card lists 25.2 billion parameters in total but only 3.8 billion active per token (8 of 128 experts plus one shared), text and image input and a 256K-token context. Google says it runs almost as fast as a 4B model, and reports 82.6% on MMLU Pro, 82.3% on GPQA Diamond and 77.1% on LiveCodeBench v6, against 85.2%, 84.3% and 80.0% for the dense Gemma 4 31B.
Google Cloud sells it as a managed API at $0.15 per million input tokens and $0.60 output, with cache hits at $0.015; its pagina dei prezzi calls it “Gemma 4 26B”. That is the price stored in this entry. DeepInfra lists it for less, at $0.07 and $0.34, and Google’s Gemini API serves gemma-4-26b-a4b-it on its free tier only.
Running it locally takes more memory than the “A4B” suggests. Google notes that all 26 billion parameters must be loaded to keep routing fast, and estimates about 14.4 GB at 4-bit (Q4_0) for the weights alone, before the context window. Ollama’s gemma4:26b-a4b-it-q4_K_M build is an 18 GB download, more than a 16 GB card holds. Size it with the Calcolatore VRAM and see how to run Gemma 4 in Ollama. In the previous generation, the nearest size was Gemma 3 27B.
Gemma 4 26B A4B pricing: API cost per 1M tokens
| Input (per ogni milione di token) | $0.150 |
|---|---|
| Output (per ogni milione di token) | $0.600 |
| Rapporto output/input | 4× |
| Combinato (4:1 in:out) | $0.240 per 1 milione di token |
What Gemma 4 26B A4B costs per month
Spesa mensile reale con un mix input-to-output 4:1 — il rapporto effettivamente prodotto da un tipico carico di lavoro basato su chat o RAG.
| Carico di lavoro | Token/mese | Costo/mese |
|---|---|---|
| Progetto secondario | 1 milione in ingresso / 0,25 milioni in uscita | $0.30 |
| Piccolo team | 20 milioni in ingresso / 5 milioni in uscita | $6.00 |
| Produzione | 200 milioni in ingresso / 50 milioni in uscita | $60 |
Calcola i tuoi numeri personalizzati nel Calcolatore dei costi delle API per l'IA.
Cheaper alternatives to Gemma 4 26B A4B
| Modello | Costo combinato ($/1 milione) | Risparmi |
|---|---|---|
| Llama 3.1 8B aperta | $0.0240 | 90% cheaper |
| Mistral NeMo 12B aperta | $0.0292 | 88% più economico |
| Gemma 3 4B aperta | $0.0600 | il 75% più economica |
Eseguirlo in autonomia o pagare l’API?
Gemma 4 26B A4B is open-weight, so you can run it yourself. It needs ~14.4 GB of VRAM at 4-bit. Self-hosting only beats the API once your volume is high enough to keep that hardware busy — the calcolatore self-hosting vs API calcola il punto di pareggio in base al tuo volume di token.
Domande frequenti
How much does Gemma 4 26B A4B cost per 1M tokens?
Gemma 4 26B A4B costs $0.150 per 1M input tokens and $0.600 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $0.240 per 1M tokens.
How much does Gemma 4 26B A4B cost per month?
A small-team workload of 20M input and 5M output tokens a month costs about $6.00 on Gemma 4 26B A4B. A side project (1M in / 0.25M out) costs roughly $0.30.
What is a cheaper alternative to Gemma 4 26B A4B?
Llama 3.1 8B is the strongest cheaper option in our database at $0.0240 per 1M blended — about 90% less than Gemma 4 26B A4B. It is also open-weight, so self-hosting is an option.
Can I run Gemma 4 26B A4B locally?
Yes. Gemma 4 26B A4B is open-weight and needs about ~14.4 GB of VRAM at 4-bit quantisation.
Why does Gemma 4 26B A4B charge more for output than input?
Output tokens are generated one at a time and cannot be batched the way a prompt can, so they cost the provider more to serve. Gemma 4 26B A4B charges 4× more for output, which is why prompt-heavy workloads are far cheaper to run than generation-heavy ones.
I prezzi indicati sono le tariffe ufficiali pubblicate per l'API principale del modello e vengono aggiornati man mano che i fornitori li modificano. Sconti per volumi elevati, elaborazione batch e input memorizzati nella cache non sono inclusi. Confronta tutti i modelli fianco a fianco nel database dei modelli AI o il Classifica LLM.